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Loyalty Program Glossary

Clear, plain-English definitions of 32+ loyalty program, retention, and ecommerce analytics terms every Shopify merchant should know.

A

Active Member

A loyalty program member who has earned or redeemed points within a defined window, typically 90 days. Active member rate is a more meaningful metric than total enrollment because it reflects genuine engagement.

arrow_forwardLoyalty Program KPIs

AOV (Average Order Value)

Total revenue divided by number of orders in a given period. A core retention metric — loyalty program members typically have 12-25% higher AOV than non-members (Bond Brand Loyalty).

Activation Rate

The percentage of enrolled loyalty members who earn or redeem their first points within a defined window (usually 30 days). Healthy benchmark: 55-70%.

Attribution (Loyalty)

The process of determining whether a purchase was genuinely caused by the loyalty program or would have happened anyway. Requires a control group or matched cohort analysis to avoid over-crediting the program.

C

CAC (Customer Acquisition Cost)

Total marketing and sales spend divided by new customers acquired. Acquiring a new customer costs 5-7x more than retaining one (Harvard Business Review).

Churn Rate

The percentage of customers who stop buying in a defined period. For ecommerce, typically measured as customers who haven't purchased in 90/180/365 days. Most Shopify stores experience 70-75% first-purchase churn.

arrow_forwardReduce Customer Churn

CLV / LTV (Customer Lifetime Value)

Total revenue a customer generates over their entire relationship. Formula: AOV × Purchase Frequency × Customer Lifespan. The most important metric for retention-focused businesses.

arrow_forwardCLV Guide

CLV:CAC Ratio

Customer Lifetime Value divided by Customer Acquisition Cost. 3:1 is the industry benchmark for a healthy business; below 2:1 signals over-spending on acquisition.

Cohort Analysis

Grouping customers by shared characteristics (usually acquisition month) and tracking their behavior over time. Essential for measuring retention trends and the true impact of loyalty programs.

Core Web Vitals

Google's performance metrics: Largest Contentful Paint (LCP), Interaction to Next Paint (INP), and Cumulative Layout Shift (CLS). Heavy loyalty scripts can harm all three.

arrow_forwardHeavy Scripts Impact

D

Dual-Sided Rewards

Referral program structure where both the referrer and the friend receive rewards (e.g., "Give $10, Get $10"). Performs 2-3x better than single-sided rewards.

arrow_forwardReferral Program Guide

E

Earn Rate

How many loyalty points a customer earns per dollar spent. Common structures: 1 point per $1 (1% return), 5 points per $1 (2% return), 10 points per $1 (5% return).

arrow_forwardPoints Program Guide

Endowed Progress Effect

Behavioral psychology principle: customers given partial progress toward a goal (e.g., signup bonus points) complete the goal faster than those starting from zero. Foundation of welcome bonus mechanics.

Enrollment Rate

Percentage of store visitors who join the loyalty program. Healthy benchmark: 8-15% for DTC, 3-8% for broader retail.

F

FAQPage Schema

Structured data format (schema.org) that marks up FAQ content for search engines. Enables rich results in Google with expandable Q&A directly in SERPs.

G

Goal Gradient Theory

Behavioral principle showing customers accelerate effort as they approach a goal. Makes progress bars ("$47 from Gold") lift purchase frequency 15-30%.

H

Headless Commerce

Architecture where the storefront frontend (Hydrogen, Next.js, etc.) is decoupled from the backend (Shopify). Requires loyalty apps to provide SDKs rather than theme-based widgets.

arrow_forwardHeadless SDK Docs

HMAC Customer Token

Cryptographically signed token proving a customer's identity to prevent unauthorized point redemptions. Generated by your backend using HMAC-SHA256(customerId.timestamp, signingSecret).

I

IndexNow

A protocol for instantly notifying search engines (Bing, Yandex, Seznam, Naver) when content changes. Free, API-based alternative to waiting for crawlers.

L

Loss Aversion

Behavioral bias: losses hurt roughly 2x more than equivalent gains. Powers VIP tier retention — customers buy to avoid losing status they've already earned.

M

MRR (Monthly Recurring Revenue)

Predictable monthly revenue, critical metric for subscription businesses. Loyalty programs reduce MRR churn by 5-15%.

arrow_forwardSubscription Loyalty

P

Points Expiration

Policy that removes points after a defined period of inactivity (typically 12 months). Creates urgency and reduces liability. Restricted by law in some jurisdictions (e.g., Quebec, Canada).

Points Liability

The total monetary value of issued but unredeemed points, recorded as a balance-sheet liability. Can spike when reward catalog improves.

Points Velocity

Average points earned per active member per month. Healthy programs let members reach the first redemption tier within 2-3 purchases.

R

Redemption Rate

Points redeemed divided by points issued over a trailing 12 months. Healthy range: 20-35%. Below 15% signals unattractive rewards; above 50% may indicate over-rewarding.

Referral Coefficient / Viral Coefficient

Average number of new customers generated per referrer. Above 0.3 is healthy; above 1.0 indicates organic/exponential growth.

Repeat Purchase Rate

Percentage of customers who make more than one purchase. Shopify average is ~27%; top-performing stores achieve 35%+.

Retention Rate

Percentage of customers retained over a period. Formula: ((Customers at end - New customers) / Customers at start) × 100.

arrow_forwardRetention Calculator

T

Tier Progression Rate

Percentage of members moving up one tier within 12 months. Healthy benchmark: 15-25% annual progression.

Tiered Loyalty / VIP Tiers

Loyalty structure with status levels (Bronze, Silver, Gold, Platinum) based on annual spend or points. Generates 1.8x more revenue than flat programs (Accenture).

arrow_forwardVIP Program Guide

W

Welcome Bonus

Points automatically awarded to new loyalty program members. Activates the endowed progress effect and drives first-action behavior.

Win-Back Campaign

Targeted re-engagement flow for customers who haven't purchased in 60-120 days. Typical cadence: day 60 "we miss you," day 90 personalized offer, day 120 higher-value incentive. Recovers 5-12% of lapsed customers (Klaviyo).

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